TheM6.5 and M7.1 earthquakes that occurred as part of the 2019 Ridgecrest sequence produced surface fault rupture and liquefaction features that were mapped using unmanned aerial vehicles (UAV’s) operated by different research teams [1, 2, 3]. These included engineers, scientists, and remote sensing experts organized as a GEER (Geotechnical Extreme Events Reconnaissance) team and staff of the University of Washington RAPID facility. We also made ground measurements using traditional survey techniques and digital photography and coordinated with others on aerial Light Detection and Ranging (LiDAR) surveys. The combination of these measurements provided an opportunity to assess the ability of different UAV techniques to capture coseismic deformations on and near fault ruptures, as well as permanent deformations due to liquefaction-induced ground failure. Ground failure spatial distribution maps were also used leveraging synthetic aperture radar data. The events occurred in a desert environment where little vegetation is present to obscure surficial features. This presentation will discuss the field reconnaissance efforts performed after the earthquake sequence, and provide comparisons among the different methods.
Fault Rupture and Liquefaction Feature Mapping with Unmanned Aerial Systems after the Ridgecrest Earthquake Sequence
Zimmaro P.;
2022-01-01
Abstract
TheM6.5 and M7.1 earthquakes that occurred as part of the 2019 Ridgecrest sequence produced surface fault rupture and liquefaction features that were mapped using unmanned aerial vehicles (UAV’s) operated by different research teams [1, 2, 3]. These included engineers, scientists, and remote sensing experts organized as a GEER (Geotechnical Extreme Events Reconnaissance) team and staff of the University of Washington RAPID facility. We also made ground measurements using traditional survey techniques and digital photography and coordinated with others on aerial Light Detection and Ranging (LiDAR) surveys. The combination of these measurements provided an opportunity to assess the ability of different UAV techniques to capture coseismic deformations on and near fault ruptures, as well as permanent deformations due to liquefaction-induced ground failure. Ground failure spatial distribution maps were also used leveraging synthetic aperture radar data. The events occurred in a desert environment where little vegetation is present to obscure surficial features. This presentation will discuss the field reconnaissance efforts performed after the earthquake sequence, and provide comparisons among the different methods.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
